Spatially Resolved Spectroscopy of the<i>Chandra</i>Field Containing the Supernova Remnant G292.2−0.5
Bibliographic record
Abstract
We present observations with the Chandra Advanced CCD Imaging Spectrometer (ACIS-S) of the western interior of the supernova remnant (SNR) G292.2-0.5 associated with the high magnetic field pulsar (PSR) J1119-6127. Chandra 's excellent resolution revealed 18 point sources on the S3 chip and allowed the study of the diffuse emission from G292.2-0.5 independently from these point sources. The diffuse emission from G292.2-0.5 can be adequately fitted with nonequilibrium ionization models; however, these fits result in an unrealistically high temperature ( kT > 3 keV), indicating the presence of a hard nonthermal component. By performing a spatially resolved spectroscopic study of the remnant, we identify the nonthermal emission as originating from the region closer to the pulsar. Its spectrum is well described with a power law with a photon index of Γ ~ 1-2. As a result of the flat spectrum and location close to the pulsar, we propose that this nonthermal emission arises from the injection of high-energy particles originating from PSR J1119-6127 and its pulsar wind nebula (PWN) into the SNR shell. As for the 18 point sources revealed by Chandra , only 3 sources have previously known counterparts at other wavelengths. Two of these sources exhibit enough counts to extract a spectrum, one being a new source CXOU J111911.8-613026 and the other being the X-ray counterpart of PSR J1119-6127 studied by us in a previous work. The spectrum of the new source CXOU J111911.8-613026 is soft (power-law photon index Γ ~ 3.6-4.6 or blackbody temperature kT ~ 0.2-0.36 keV) with a luminosity comparable to that of faint radio-quiet neutron stars. The nature of CXOU J111911.8-613026, however, cannot be determined with the present data and has to await further observations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".